AI/ML Engineer

ABOUT KRISPCALL

KrispCall is an AI-powered business phone solution helping modern teams manage calls, SMS, and customer communication across geographies. We are expanding our channel ecosystem in India and looking for a Channel Sales Manager who can build and scale partner-led revenue through strong partner recruitment, enablement, and co-selling.

This role is for someone who understands how to create repeatable partner motion. Recruit the right partners, activate them fast, and drive a consistent pipeline.

KEY RESPONSIBILITIES

1) Channel Strategy and Revenue Ownership

- Own channel-led pipeline and revenue targets for assigned regions/segments.

- Build a clear partner plan: partner types, ICP, outreach strategy, onboarding flow, and quarterly execution.

- Create predictable partner sourcing and activation motion, not just one-off partnerships.

2) Partner Acquisition and Onboarding

- Identify and recruit high-fit partners such as resellers, agencies, consultants, system integrators, CRM implementers, and IT service providers.

- Qualify partners using structured criteria (reach, vertical fit, capability, deal velocity potential).

- Lead partner onboarding from start to activation: pitch, commercial alignment, agreement process, and first opportunities.

3) Partner Enablement and Activation

- Train partners on KrispCall positioning, product capabilities, pricing basics, and demo readiness.

- Build partner playbooks: outbound messaging, use cases, objection handling, demo scripts, and lead sharing process.

- Ensure partners can generate and close opportunities independently, with KrispCall support when needed.

4) Co-selling and Deal Execution

- Work with partners on joint pipeline building and deal execution.

- Support partner-driven deals: discovery, solutioning, demos, proposal coordination, and closure.

- Maintain deal hygiene and ensure accurate tracking across stages in CRM.

5) Partner Success and Relationship Management

- Run regular partner check-ins, pipeline reviews, and joint GTM planning.

- Drive partner performance through clear goals: leads, meetings, demos, and closed-won revenue.

- Solve partner blockers quickly: product gaps, collateral gaps, pricing concerns, process delays.

6) Reporting and Forecasting

- Maintain accurate reporting on partner pipeline, conversion rates, and revenue contribution.

- Track partner health metrics: activation time, deal velocity, and repeatability.

- Share insights with internal teams to improve partner program, messaging, and enablement.

7) Events and Ecosystem Presence

- Represent KrispCall at relevant industry events, partner meets, and networking sessions.

- Use events as a partner acquisition and activation channel, not only lead collection.

- Capture learnings and opportunities clearly for internal follow-up.

QUALIFICATIONS AND EXPERIENCE

- 3 to 6 years of experience in channel sales, partnerships, alliance management, or B2B SaaS sales with channel exposure.

- Proven track record of building pipeline and revenue through partners.

- Experience working with SMB or mid-market partners is a plus.

- Familiarity with SaaS selling motion, partner ecosystems, and basic CRM discipline.

SKILLS REQUIRED

- Partner recruitment and relationship building

- Partner enablement and activation

- Strong business communication and negotiation

- Pipeline management and forecasting

- Ability to run structured partner programs and processes

- Comfortable representing the company externally at events and partner meetings

- Strategic thinking with hands-on execution

WHAT WE OFFER

- Competitive salary with performance-linked incentives

- Ownership of a high-impact growth channel at KrispCall

- Strong growth path into Head of Partnerships or Regional Channel Lead

- Exposure to a fast-moving SaaS environment with real autonomy

- Access to events, partner ecosystems, and strategic GTM initiatives

WHY JOIN KRISPCALL?

At KrispCall, channel is not a side function. It’s a core growth lever. You will directly influence partner-led revenue, help shape the partner program, and build a scalable channel engine in India. If you enjoy building ecosystems, working with ambitious partners, and driving measurable revenue outcomes, we would like to meet you.

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

• Oversee daily store operations, ensuring everything runs smoothly and efficiently.
• Manage and lead a team of sales associates, setting goals and providing coaching to ensure targets are met.
• Maintain high standards of customer service, addressing customer concerns and feedback.
• Monitor inventory levels, order stock, and manage product displays.
• Analyze sales data and prepare reports for senior management.
• Implement promotional activities and sales strategies to drive revenue.
• Ensure compliance with all company policies, health and safety regulations, and local laws.
• Conduct regular store audits and ensure the store's appearance is up to company standards.
• Handle store budgets, payroll, and scheduling efficiently.

Job Objective:

We are seeking an experienced Developer with a strong background in C++, CUDA programming,

and Linux to guide our development team in building cutting-edge solutions for device

integration and high-performance computing tasks. This is a hands-on leadership position that

combines technical expertise with team management skills to deliver high-quality software

products.

Primary responsibilities:

Software Development:

• Develop and maintain high-performance applications using C++ and CUDA.

• Design and implement parallel algorithms for GPUs to accelerate computational

workloads.

Performance Optimization:

• Optimize CUDA kernels for performance, scalability, and memory efficiency.

• Analyze performance bottlenecks and propose innovative solutions.

Code Review and Testing:

• Conduct code reviews to ensure adherence to coding standards and best practices.

• Develop and execute test cases to validate functionality and performance.

Collaboration:

• Work closely with the software engineering and research teams to understand

requirements and deliver robust solutions.

• Provide technical guidance and mentoring to junior team members when necessary.

Documentation:

• Write and maintain technical documentation, including design specifications and user

manuals.

Required Skills:

• C++: Strong proficiency in modern C++ (C++11/14/17/20).

• CUDA Programming: Extensive experience in developing, debugging, and optimizing

CUDA applications.

• GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and

warp-level operations in CUDA.

• Parallel Computing: Solid understanding of parallel algorithms and multi-threaded

programming.

• Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and

numerical methods.

• Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

• Overall accountable for achieving monthly deals target and quarterly revenue target
• Responsible for identifying / qualifying new opportunities for Avekshaa’ solutions andappNeura products mainly in the domestic Market.
• Responsible for building solid qualified pipeline.
• Pursue hot/warm leads and convert them into business.
• Provide operational support for all sales processes including alliances, pipeline
• progression, sales proposals, collections dashboards etc.
• Understand client’s needs and identifying the right solution to solve those busines schallenges
• Understand competitive landscape and constantly improve market intelligence
• Ensure selling effectiveness across the sales cycle.
• Build client database
• Support marketing activities across regions.

• Indian market - Lead generation
•  Maintaining the database
•  Cold calls, setting up the meeting
• 1-3 years of solutions, IT consulting and software product selling experience in the domestic market. Experience of selling APM products-services, IT service management,
• testing and security services will be an added advantage. (People with only Hardware and Network selling experience shall not apply)
• Must be hunter with ability to identify opportunities and convert leads into pursuits
•  Go Getter, has a drive to win - gets results despite hurdles, rejection, is persuasive and
• have the drive to win over competition
•  Must have achieved / over-achieved revenue targets consistently.
•  Ability to understand technical solution and articulate the same to CIO / Buyer over calls / meeting.
• Must have adequate exposure to client management and buyer processes including vendor registration etc.

Pingahla is recruiting business intelligence Consultants/Senior consultants who can help us with Information Management projects (domestic, onshore and offshore) as developers and team leads. The candidates are expected to have 3-6 years of experience with Informatica Power Center/Talend DI/Informatica Cloud and must be very proficient with Business Intelligence in general. The job is based out of our Pune office.

Responsibilities:

• Manage the customer relationship by serving as the single point of contact before, during and after engagements.
• Architect data management solutions.
• Provide technical leadership to other consultants and/or customer/partner resources.
• Design, develop, test and deploy data integration solutions in accordance with customer’s schedule.
• Supervise and mentor all intermediate and junior level team members.
• Provide regular reports to communicate status both internally and externally.
• Qualifications:
• A typical profile that would suit this position would be if the following background:
• A graduate from a reputed engineering college 
• An excellent I.Q and analytical skills and should be able to grasp new concepts and learn new technologies.
• A willingness to work with a small team in a fast-growing environment.
• A good knowledge of Business Intelligence concepts

Mandatory Requirements:

• Knowledge of Business Intelligence
• Good knowledge of at least one of the following data integration tools - Informatica Powercenter, Talend DI, Informatica Cloud
• Knowledge of SQL
• Excellent English and communication skills
• Intelligent, quick to learn new technologies
• Track record of accomplishment and effectiveness with handling customers and managing complex data management needs
   

Responsibilities

1-Integration of user-facing elements developed by front-end developers

2-Build efficient, testable, and reusable PHP modules

3-Solve complex performance problems and architectural challenges

4-Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.

Skills and Qualifications

1-Strong knowledge of PHP web frameworks (such as Code igniter, Core PHP depending on your technology stack).

2-Understanding the fully synchronous behavior of PHP.

3-Understanding of MVC design patterns.

4-Basic understanding of front-end technologies, such as JavaScript, Jquery, Ajax, HTML5, and CSS3.

5-Knowledge of object oriented PHP programming.

6-Understanding accessibility and security compliance (Depending on the specific project)

7-Strong knowledge of the common PHP or web server exploits and their solutions.

8-User authentication and authorization between multiple systems, servers, and environments

9-Integration of multiple data sources and databases into one system.

10-Familiarity with limitations of PHP as a platform and its workarounds.

11-Creating database schemas that represent and support business processes

12-Familiarity with SQL/MySQL databases and their declarative query languages