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Technical Lead

2 weeks ago

Sahibzada Ajit Singh Nagar, India DataCouch Full time
Job Description
Responsibilities:
1. Pre-Sales Leadership:
○ Lead and manage all technical aspects of pre-sales activities, including PoCs, technical presentations, and proposals.
○ Serve as the key technical Subject Matter Expert (SME) during client interactions, ensuring a clear understanding of their technical needs and challenges.
○ Provide strategic input on project cost estimations from a technology standpoint, ensuring alignment between sales teams and technical capabilities.

2. Client Engagement & Onsite Representation:
○ Represent the organization as the technical point of contact in onsite client meetings, addressing technical concerns, proposing solutions, and fostering strong, trusted client relationships.
○ Ensure all client engagements are technically sound, well-planned, and aligned with the overall business strategy.

3. Leadership & Talent Development:
○ Mentor and lead a team of 6-8 technical interns, grooming them into professional, highly skilled team members through well-defined learning journeys.
○ Build a culture of technical excellence and continuous learning, helping team members develop critical skills for career growth.

4. Process Automation & Efficiency:
○ Lead efforts to automate internal processes, increasing operational efficiency and reducing manual interventions.
○ Develop and maintain dashboards to enhance visibility into operations, supporting DataCouch's goal to be a fully data-driven organization.

5. Product Innovation & Development:
○ Spearhead the development of new technical products and solutions, such as Lab Solutions and Instructor Portals, ensuring innovation is at the forefront of our strategy.
○ Collaborate with stakeholders to define product requirements, prioritize features, and oversee the technical design and development.

6. Documentation & Knowledge Management:
○ Foster a documentation-first mindset within the team, ensuring that all technical processes, solutions, and best practices are well-documented.
○ Improve and expand the organization's knowledge base, ensuring it supports both internal stakeholders and external clients.

7. Global Thought Leadership & Branding:
○ Establish DataCouch as a recognized global authority in technology by leading content creation initiatives, including case studies, blogs, and other high-quality materials.
○ Drive content generation on platforms like LinkedIn, Medium, and Quora, promoting DataCouch’s expertise and innovations to a global audience.
○ Ensure the organization’s voice is consistent, professional, and positions DataCouch at the forefront of technological advancements.

8. Technical Recruitment & Interviews:
○ Lead the technical recruitment process, conducting interviews to identify top-tier talent and ensuring they align with DataCouch’s technical goals and culture.
○ Define hiring needs based on future growth and innovation objectives.

RequirementsQualifications:
● Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
● 8+ years of experience in a technical leadership role, with a proven track record in pre-sales, client engagement, and product development.
● Deep technical expertise in automation, product development, and process efficiency.
● Strong leadership skills, with the ability to mentor, develop, and inspire technical teams.
● Excellent communication and presentation skills, able to convey complex technical ideas to both technical and non-technical audiences.
● Proven experience in writing and publishing technical content (blogs, case studies) and managing a company’s technical brand online.
● Strong problem-solving abilities and a strategic mindset to drive innovation and global tech authority.

Preferred Skills:
● Demonstrated ability to manage multiple projects and deadlines in a fast-paced environment.
● Familiarity with industry-leading tools and platforms used in automation, data dashboards, and product development.

Benefits
  • Opportunities to work with multiple global technology leaders.
  • Hands-on exposure to bleeding-edge Web 3.0 Spectrum technologies.
  • Opportunity to attend highly sought after technical training.
  • Vast opportunity to grow and excel in multiple domains.
  • Work in a Vibrant Office environment.


Requirements
Educational Background: Bachelor's and Master’s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.