Job Description: Business Development Executive (BDE) Company: The Machine Learning Company (TMLC) Location: Pune / Hybrid Experience: 6 – 10 years Type: Full-time About Us The Machine Learning Company (TMLC) is a growing AI and IT consulting firm delivering enterprise-grade solutions in Generative AI, Data Science, Data Engineering, and IT services. We work with clients across industries like Healthcare, FMCG, Real Estate, Manufacturing, and EdTech to help them optimize costs, drive efficiency, and achieve measurable ROI. We are hiring a Business Development Executive (BDE) who can own the end-to-end business development cycle - from prospecting and outreach to pitching and closing deals. This role requires someone with strong expertise in both sales and marketing execution. Key Responsibilities Identify, research, and generate new B2B business opportunities in India and global markets (US, UAE, UK). Execute outbound prospecting via LinkedIn, email campaigns, and cold calling. Create and manage marketing outreach initiatives (social media, email, events, webinars) to build a qualified lead pipeline. Pitch TMLC’s AI and IT services to CXOs, IT Heads, and business leaders. Conduct solution presentations and coordinate with presales/technical teams for proposals. Nurture leads into long-term client relationships. Maintain CRM records, sales pipeline, and ensure accurate forecasting. Achieve monthly/quarterly targets for lead generation and revenue. Requirements 6–10 years of experience in B2B business development, IT sales, or consulting sales. Strong understanding of IT services, AI/ML, Cloud, or SaaS solutions. Hands-on experience in outbound prospecting, lead generation, and pipeline management. Ability to communicate complex technical solutions in simple business language. Proven track record of achieving sales and revenue targets. Excellent communication, negotiation, and presentation skills. Self-driven, proactive, and comfortable working in a startup/high-growth environment. Willingness to travel if required. What We Offer Competitive compensation with attractive incentives. Opportunity to sell cutting-edge AI and IT solutions. Exposure to senior decision-makers and global clients. A growth-oriented role with autonomy and impact.
(Immediate Joiners only) Job Description – Data Engineer (3–5 Years Experience) Location: Onsite (Pune) Employment Type: Full-time Experience: 3 to 5 Years Department: Data Engineering About The Machine Learning Company (TMLC) At TMLC , we build enterprise-grade AI and Data solutions that drive measurable business impact. From predictive analytics to intelligent automation, our teams deliver end-to-end data platforms and AI products for clients across healthcare, BFSI, retail, and manufacturing domains. We are expanding our Data Engineering practice and are looking for hands-on engineers who can design, build, and optimize robust data pipelines and warehousing solutions for large-scale enterprise systems. Role Overview As a Data Engineer , you will be responsible for developing and maintaining data pipelines, integrating multiple data sources, and ensuring efficient data flow into analytical and reporting systems. You will work closely with data scientists, analysts, and business teams to ensure high-quality, scalable data infrastructure that supports advanced analytics and AI use cases. Key Responsibilities Design, develop, and maintain ETL / ELT pipelines using Python and SQL. Build and manage data warehouse models (Star/Snowflake schemas, fact/dimension design). Ensure data accuracy, consistency, and performance across multiple systems. Collaborate with AI/ML and BI teams to integrate pipelines with analytical and visualization layers. Optimize SQL queries and data workflows for performance and scalability. Monitor and troubleshoot data pipelines, ensuring reliability and minimal downtime. Contribute to automation and CI/CD for data workflows using version control and deployment tools. Document data flows, schemas, and best practices for ongoing reference. Required Skills & Experience 3–5 years of hands-on experience in Data Engineering or ETL Development. Strong expertise in SQL (complex joins, stored procedures, performance tuning). Proficiency in Python for data manipulation and scripting (Pandas, NumPy, etc.). Good understanding of Data Warehousing concepts — schema design, dimensional modeling, and query optimization. Experience with ETL tools or frameworks (e.g., Airflow, Apache Beam, Pentaho, Talend). Exposure to version control systems (Git) and basic CI/CD practices. Strong analytical and problem-solving skills with attention to detail. Preferred / Add-on Skills Experience in Google Cloud Platform (GCP) — BigQuery, Cloud Storage, Dataflow, Pub/Sub, or Composer. Familiarity with data orchestration frameworks and cloud-native pipeline deployment. Exposure to other cloud ecosystems (AWS, Azure) is a plus. Knowledge of data lake architectures and API-based data ingestion . Education Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. Why Join TMLC Work on cutting-edge AI and data platforms impacting large enterprises. Collaborate with a team of AI engineers, architects, and data scientists. Opportunity to grow into cloud or ML engineering roles. Competitive compensation and exposure to enterprise-grade, global projects.
(Immediate Joiners only) DE T-111 Job Description – Data Engineer (3–5 Years Experience) Location: Onsite (Pune) Employment Type: Full-time Experience: 3 to 5 Years Department: Data Engineering About The Machine Learning Company (TMLC) At TMLC, we build enterprise-grade AI and Data solutions that drive measurable business impact. From predictive analytics to intelligent automation, our teams deliver end-to-end data platforms and AI products for clients across healthcare, BFSI, retail, and manufacturing domains. We are expanding our Data Engineering practice and are looking for hands-on engineers who can design, build, and optimize robust data pipelines and warehousing solutions for large-scale enterprise systems. Role Overview As a Data Engineer, you will be responsible for developing and maintaining data pipelines, integrating multiple data sources, and ensuring efficient data flow into analytical and reporting systems. You will work closely with data scientists, analysts, and business teams to ensure high-quality, scalable data infrastructure that supports advanced analytics and AI use cases. Key Responsibilities Design, develop, and maintain ETL / ELT pipelines using Python and SQL. Build and manage data warehouse models (Star/Snowflake schemas, fact/dimension design). Ensure data accuracy, consistency, and performance across multiple systems. Collaborate with AI/ML and BI teams to integrate pipelines with analytical and visualization layers. Optimize SQL queries and data workflows for performance and scalability. Monitor and troubleshoot data pipelines, ensuring reliability and minimal downtime. Contribute to automation and CI/CD for data workflows using version control and deployment tools. Document data flows, schemas, and best practices for ongoing reference. Required Skills & Experience 3–5 years of hands-on experience in Data Engineering or ETL Development. Strong expertise in SQL (complex joins, stored procedures, performance tuning). Proficiency in Python for data manipulation and scripting (Pandas, NumPy, etc.). Good understanding of Data Warehousing concepts — schema design, dimensional modeling, and query optimization. Experience with ETL tools or frameworks (e.g., Airflow, Apache Beam, Pentaho, Talend). Exposure to version control systems (Git) and basic CI/CD practices. Strong analytical and problem-solving skills with attention to detail. Preferred / Add-on Skills Experience in Google Cloud Platform (GCP) — BigQuery, Cloud Storage, Dataflow, Pub/Sub, or Composer. Familiarity with data orchestration frameworks and cloud-native pipeline deployment. Exposure to other cloud ecosystems (AWS, Azure) is a plus. Knowledge of data lake architectures and API-based data ingestion. Education Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. Why Join TMLC Work on cutting-edge AI and data platforms impacting large enterprises. Collaborate with a team of AI engineers, architects, and data scientists. Opportunity to grow into cloud or ML engineering roles. Competitive compensation and exposure to enterprise-grade, global projects.