QA Manager

Key Responsibilities:

Identify, approach, and onboard new client companies for recruitment solutions.

Leverage existing network in the staffing and recruitment ecosystem to generate new business leads.

Conduct client meetings (virtual and on-site), pitch SnapFind’s offerings, and convert leads into long-term partnerships.

Manage the complete sales cycle from lead generation to closure and post-sale client relationship.

Collaborate with internal delivery and freelancer teams to ensure service quality and satisfaction.

Maintain a strong pipeline of prospects and provide regular updates to the leadership team.

Ensure revenue targets and client acquisition goals are consistently met.

Represent SnapFind at HR events, job fairs, and client sites when required.

Location: Bengaluru, IN

Mode of Hire: Full Time

Job Description:

The Technical Architect is responsible for successfully designing and managing the successful delivery of complex Salesforce solutions for our customers. These technologies include--but are not necessarily limited to Salesforce.com products and APIs, Apex/Visualforce, Lightning, mobile development technologies, and integration/ETL technologies.

Key Responsibilities

● Collaborate with client partners to define requirements, results, and set and handle expectations

● Translate business requirements into well-architected solutions that best leverage the Salesforce platform

● Lead technical design sessions; architect and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states

● Provide oversight and governance of Salesforce projects!

● Follow and help define coding standards. Lead code reviews during projects to ensure quality and appropriate design patterns are followed.

● Handle the technical delivery of custom development, integrations, and data migration elements of a Salesforce implementation!

● Maintain a target billable utilization aligned to the role.

● Ability to understand a project and investigate to debug issues.

● From time-to-time, the TA may be encouraged to partake in other pre-sales activities such as discovery and technical investigation sessions, Proof-Of-Concept (POC) development with prospects.

● Liaise with Salesforce product teams to support client implementations.

Required Skills:

● Total - 10-15 years of min work exp which includes min 5 years in Salesforce Projects Implementation, functional knowledge required and good in Client Management.

● At least 2+years of experience in performing solution design review and building scalable, reusable solutions and in reducing existing salesforce platform technical debt.

● Hands on experience with Lightning components, LWC, Lightning framework, Lightning Design System, Lightning Data Service, Lightning Locker service, etc

● Hands on experience on the Force.com platform, Apex classes, visualforce, batch apex, triggers, SOQL.

● Excellent understanding of Software Development Life Cycle (SDLC) including analysis, requirement, design, development, enhancements, testing, deployment, and maintenance of enterprise applications.

● 5-7 years of experience in leading & delivering projects. Consulting/functional background.

● The ability to understand project scope. Requirement and the proposed solution - convert the Requirements in to project plan, sprint planning hands on Agile scrum Master process hands on. Review Functional and Technical Documents and fine tune before submitting to the clients.

● Collaborate with internal teams as needed on talents/skill gaps to be addressed by consultants - the Technical Architect ability to review the quality of deliverables by taking needed support as needed.

● Effective communication skills, track and report (internal, external) on progress; timely surfacing of risks/propose steps to mitigate - familiarity with std. project management tools (ms project for planning and Jjra etc..)

● KPIs - Quality, CSAT, employee experience, project profitability, renewals - saas/cx background a must, SF experience is mandatory. Developing Junior PMs and Business Analysts in the team.

● Better to have PMP certifications, SF Sales Cloud and Service Cloud Certifications.

Qualification: Bachelor’s/Postgraduate degree, professional qualification, or relevant experience

Job Benefits: A very competitive pay package and compensatory plan

Job Title : Data Engineer – Snowflake Expert

Location : Pune (Onsite)

Experience : 10+ Years

Employment Type : Contractual

Mandatory Skills : Snowflake, Advanced SQL, ETL/ELT (Snowpipe, Tasks, Streams), Data Modeling, Performance Tuning, Python, Cloud (preferably Azure), Security & Data Governance.

Job Summary :

We are seeking a seasoned Data Engineer with deep expertise in Snowflake to design, build, and maintain scalable data solutions.

The ideal candidate will have a strong background in data modeling, ETL/ELT, SQL optimization, and cloud data warehousing principles, with a passion for leveraging Snowflake to drive business insights.

Responsibilities :

• Collaborate with data teams to optimize and enhance data pipelines and models on Snowflake.
• Design and implement scalable ELT pipelines with performance and cost-efficiency in mind.
• Ensure high data quality, security, and adherence to governance frameworks.
• Conduct code reviews and align development with best practices.

Qualifications :

• Bachelor’s in Computer Science, Data Science, IT, or related field.
• Snowflake certifications (Pro/Architect) preferred.

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

Responsibilities

• Model Development and Optimization: Design, build, and deploy NLP models, including transformer models (e.g., BERT, GPT, T5) and other SOTA architectures, as well as traditional machine learning algorithms (e.g., SVMs, Logistic Regression) for specific applications.

• Data Processing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

• Model Fine-Tuning and Transfer Learning:

Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

• Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization, ONNX formats etc.

• Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

• Stakeholder Communication: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.

• Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards. • Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes. 

We're hiring at Octobotics! You will be a member of our robotics team. As a Robotics Engineer Intern, you will be responsible for engineering solutions to automation problems alongside the product development team. You can expect to co-craft innovative automated solutions and interfaces with C++/python, test third-party embedded modules in real-world scenarios, and use these experiences to pioneer the company's pioneering robotics platforms. 

The candidate should have above-average Linux skills. With experience using ROS and a comprehensive grasp of robotics fundamentals, the candidate should be able to deliver efficient and reliable code. The candidate should be able to work with vision systems and hardware like motor and controller systems, sensors, microcontrollers, communication protocols such as Ethernet or Modbus.

The candidate must be comfortable working in a dynamic environment with prototypes arising mid-project, and the discovery of new areas requiring attention at any given time is required.

Ways To Stand Out From The Crowd: 

• A Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering.
• Understand Computer Fundamentals - Compilers, linkers, Cmake.
• Understand DSA - Topcoder, CodeChef, HackerRank.
• SLAM ( Graph SLAM, Lidar based Localization )
• Use Rviz & Gazebo.
• Use Git - Add, Commit, Push. 

About Us:

We are working on next-generation maritime and aerial robotics for the future. We are developing the first Marine & Aero Robotic Platform in the World with Modular Manipulators for Autonomous Inspection & NDT even on heavily corroded surfaces (Matured Technology)/Eddy Current/Other NDT Techniques. We are a close-knit group of dreamers and doers who are willing to take risks, think outside the box, and try to accomplish the seemingly impossible.

We are ready to push the boundaries and are looking for people who want to be a part of this exciting journey. We may not promise the moon, but we will try our best to provide a conductive, non-toxic environment within a flat organization where "Every Opinion Matters." 

Octobotics Tech raised its pre-Seed round from a Hong Kong-based investor and is now hiring our very first few members of the Octobotics Tech family.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.