Title : Head of Data Engineer Location : Pan : 18 -24 yrs Job Overview We are seeking a Senior Data Engineering Manager to lead and elevate our data engineering capabilities. In this role, you will be at the forefront of designing scalable, high-performance data platforms and pipelines. You will define architectural strategies, guide the adoption of emerging technologies, and drive initiatives that support our growing data needs. This is a leadership position that blends deep technical expertise with strong strategic vision and people management. Key Responsibilities Leadership and Strategy : Spearhead the data engineering team and establish best practices, frameworks, and engineering principles to drive team excellence and innovation. Develop a clear architectural vision for new projects and select the appropriate tech stack that aligns with business goals and future scalability. Collaborate closely with product managers, data scientists, analytics teams, and other stakeholders to understand and deliver on data needs. Architecture And Development Architect, build, and maintain robust, scalable, and secure data platforms and distributed data processing systems. Drive the end-to-end development lifecycle from ideation to deployment, ensuring timely and high-quality delivery of solutions that adhere to design and security standards. Utilize emerging technologies to enhance data ingestion, transformation, and storage mechanisms. Team Mentorship And Growth Lead and mentor junior and mid-level data engineers, fostering an environment of continuous learning and innovation. Support team members in achieving their career development goals, and provide coaching and feedback to help them grow technically and professionally. Project And Technical Communication Communicate technical solutions, project timelines, and delivery risks in a clear and business-friendly manner to both technical and non-technical stakeholders. Provide regular updates on project status, blockers, and progress to leadership and relevant teams. Data Governance And Quality Oversee and further develop critical data initiatives including Data Discovery, Data Lineage, Data Quality, and compliance with governance frameworks. Ensure that all data systems and solutions are accurate, consistent, traceable, and reliable. Analytical And Reporting Excellence Design and implement data pipelines, ETL/ELT workflows, and analytical solutions that support business intelligence and advanced analytics. Conduct complex data analysis, derive insights, and present actionable results to stakeholders. Required Skills And Qualifications Proven experience (8+ years) in data engineering with at least 3+ years in a leadership or managerial role. Hands-on expertise in building and managing data lakes, warehouses, and real-time data processing systems. Strong proficiency in SQL, Python, Scala, or similar programming languages. Experience with cloud platforms (AWS, Azure, or GCP) and modern data tools (e.g., Spark, Kafka, Snowflake, Airflow, Databricks). Deep understanding of data modeling, metadata management, security practices, and data governance. Strong communication, stakeholder management, and problem-solving skills. Preferred Qualifications Experience in building scalable data platforms for machine learning or AI use cases. Exposure to data privacy regulations (GDPR, HIPAA, etc.) and compliance requirements. Familiarity with CI/CD for data engineering and infrastructure-as-code practices. (ref:hirist.tech)

Job Title : Senior Machine Learning Developer Location : Pan India Job Type : Full-Time Experience Level : 5- 10 Years Job Description We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills RAG-Based Domain-Specific Q&A System : Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). Agentic AI Workflow Assistant (Multi-Step Planner) : Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. Multimodal RAG for Image + Text Search : Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. Document Parsing Using OCR + Transformers : Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities Machine Learning Development : Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research And Innovation Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning Environment (ref:hirist.tech)