Job Description
Solulever is transforming how industries harness the power of data, AI, and Industrial IoT. At the heart of our platform Brevo, lies a powerful data and ML engine that powers predictive insights, automation, and decision intelligence. We’re seeking a Data and ML Lead to spearhead the strategy, development, and operationalization of advanced machine learning solutions that drive business impact across industries.
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Role Overview
As a Data and ML Lead, you will be responsible for leading end-to-end data and machine learning initiatives—from data strategy and architecture to model development, deployment, and lifecycle management. You’ll guide a multidisciplinary team of data scientists, ML engineers, and data engineers while working closely with product and business stakeholders to turn complex data into valuable solutions.
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Key Responsibilities
• Leadership & Strategy
• Define and own the ML and data strategy aligned with Solulever’s platform vision and product roadmap.
• Mentor and lead a team of data scientists and ML engineers.
• Drive innovation by staying ahead of trends in AI, GenAI, Computer Vision, Deep Learning, and MLOps.
• ML Architecture & Development
• Design and oversee scalable and reusable ML architectures using Python, TensorFlow, PyTorch, Scikit-learn, etc.
• Lead the development of supervised, unsupervised, and reinforcement learning models.
• Collaborate on building Generative AI applications leveraging LLMs, embedding models, and transformer architectures.
• End-to-End ML Lifecycle Management
• Manage model training, validation, A/B testing, monitoring, and automated retraining pipelines.
• Implement robust ML Ops pipelines using tools like MLflow, Kubeflow, and Docker/Kubernetes.
• Ensure reproducibility, versioning, and traceability of experiments and models.
• Data Infrastructure & Engineering
• Oversee data ingestion and feature engineering pipelines using Apache Spark, Kafka, Airflow, etc.
• Collaborate with data engineers to design and optimize data lakes, warehouses, and feature stores.
• Analytics & Decision Intelligence
• Define and monitor product-level KPIs and model performance metrics.
• Work with Product, UX, and Engineering to translate insights into product features and business outcomes.
• Cross-functional Collaboration
• Act as the primary point of contact for all AI/ML initiatives within Solulever and for key stakeholders.
• Ensure alignment between data/ML teams and product, engineering, DevOps, and business teams.
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Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field.
• 6+ years of experience in data science and machine learning, with 2+ years in a lead or principal role.
• Strong hands-on expertise in Python, SQL, and ML/AI libraries (TensorFlow, PyTorch, XGBoost, etc.).
• Proven experience building and deploying models in production environments.
• Familiarity with ML Ops workflows and tools (e.g., MLflow, Kubeflow, DVC, Jenkins, Docker, Kubernetes).
• Experience with big data technologies like Spark, Kafka, Airflow, and data lake/data warehouse platforms.
• Excellent communication and team leadership skills.
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Preferred Qualifications
• Experience with GenAI, LLMs, embedding models, vector databases (e.g., FAISS, Weaviate, Pinecone).
• Knowledge of industrial domains (manufacturing, supply chain, IoT) is a strong plus.
• Understanding of data governance, lineage, and privacy in AI systems.
• Published research or open-source contributions in AI/ML space.
⸻
What We Offer
• A leadership role in a mission-driven AI company.
• Opportunity to shape core AI/ML capabilities that power a next-gen IIoT platform.
• Flexible working environment with a culture of innovation and learning.
• Competitive salary, equity options, and performance bonuses.
⸻
Role Overview
As a Data and ML Lead, you will be responsible for leading end-to-end data and machine learning initiatives—from data strategy and architecture to model development, deployment, and lifecycle management. You’ll guide a multidisciplinary team of data scientists, ML engineers, and data engineers while working closely with product and business stakeholders to turn complex data into valuable solutions.
⸻
Key Responsibilities
• Leadership & Strategy
• Define and own the ML and data strategy aligned with Solulever’s platform vision and product roadmap.
• Mentor and lead a team of data scientists and ML engineers.
• Drive innovation by staying ahead of trends in AI, GenAI, Computer Vision, Deep Learning, and MLOps.
• ML Architecture & Development
• Design and oversee scalable and reusable ML architectures using Python, TensorFlow, PyTorch, Scikit-learn, etc.
• Lead the development of supervised, unsupervised, and reinforcement learning models.
• Collaborate on building Generative AI applications leveraging LLMs, embedding models, and transformer architectures.
• End-to-End ML Lifecycle Management
• Manage model training, validation, A/B testing, monitoring, and automated retraining pipelines.
• Implement robust ML Ops pipelines using tools like MLflow, Kubeflow, and Docker/Kubernetes.
• Ensure reproducibility, versioning, and traceability of experiments and models.
• Data Infrastructure & Engineering
• Oversee data ingestion and feature engineering pipelines using Apache Spark, Kafka, Airflow, etc.
• Collaborate with data engineers to design and optimize data lakes, warehouses, and feature stores.
• Analytics & Decision Intelligence
• Define and monitor product-level KPIs and model performance metrics.
• Work with Product, UX, and Engineering to translate insights into product features and business outcomes.
• Cross-functional Collaboration
• Act as the primary point of contact for all AI/ML initiatives within Solulever and for key stakeholders.
• Ensure alignment between data/ML teams and product, engineering, DevOps, and business teams.
⸻
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field.
• 6+ years of experience in data science and machine learning, with 2+ years in a lead or principal role.
• Strong hands-on expertise in Python, SQL, and ML/AI libraries (TensorFlow, PyTorch, XGBoost, etc.).
• Proven experience building and deploying models in production environments.
• Familiarity with ML Ops workflows and tools (e.g., MLflow, Kubeflow, DVC, Jenkins, Docker, Kubernetes).
• Experience with big data technologies like Spark, Kafka, Airflow, and data lake/data warehouse platforms.
• Excellent communication and team leadership skills.
⸻
Preferred Qualifications
• Experience with GenAI, LLMs, embedding models, vector databases (e.g., FAISS, Weaviate, Pinecone).
• Knowledge of industrial domains (manufacturing, supply chain, IoT) is a strong plus.
• Understanding of data governance, lineage, and privacy in AI systems.
• Published research or open-source contributions in AI/ML space.
⸻
What We Offer
• A leadership role in a mission-driven AI company.
• Opportunity to shape core AI/ML capabilities that power a next-gen IIoT platform.
• Flexible working environment with a culture of innovation and learning.
• Competitive salary, equity options, and performance bonuses.
💡 Quick Summary
Seeking a career-building opportunity? The Data and ML lead position is now open for candidates interested in the Work from home Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
